Journal of Computational and Cognitive Engineering

Aims & Scope

Journal of Computational and Cognitive Engineering (JCCE) is an international, peer-reviewed, interdisciplinary journal that publishes cutting-edge articles on the recent trends in computational and cognitive engineering.

The goal of the journal is to provide a new platform for the dissemination of the research and current practices in the emerging disciplines of the cognitive and computational engineering to solve the real-world problems.

JCCE considers original contributions using computational, experimental, theoretical and integrative studies in cognitive systems and computational studies, including (but not limited to): • Mathematics Theory and Application in Computational and Cognitive Engineering • Machine Learning, Data Mining, and Big Data Processing • Network Intelligence and Mobile Computing • Explainable Artificial Intelligence • Artificial Intelligence • Cognitive Engineering • Deep Learning • Computational Cognitive Neuroscience • Fuzzy Logic and Neural Networks • Robotics, IoT, AIoT, and Autonomous Systems • Intelligent Control and Decision • Pattern Recognition and Computer Vision • Blockchain Technologies and Applications • Decision-Making Theories • Intelligent and Knowledge Based System • Fuzzy Decision-Making Theories • Natural Language Processing • Hybrid and Nonlinear System • Cognitive Psychology

View Aims & Scope

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Metrics & Ranking

Journal Rank

Year	Value
2024	1847

Journal Citation Indicator

Year	Value
2024	1082

SJR (SCImago Journal Rank)

Year	Value
2024	1.730

Quartile

Year	Value
2024	Q1

h-index

Year	Value
2024	27

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science and Engineering, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Spam Detection Using Bidirectional Transformers and Machine Learning Classifier Algorithms

  Citation: 116

  Authors: Yanhui, Zelal, Deepika

• Research on Internet Security Situation Awareness Prediction Technology Based on Improved RBF Neural Network Algorithm

  Citation: 102

  Authors: Zhihua

• Research on Face Intelligent Perception Technology Integrating Deep Learning under Different Illumination Intensities

  Citation: 65

  Authors: Yanqing, Xing

• Comparing BERT Against Traditional Machine Learning Models in Text Classification

  Citation: 63

  Authors: Eduardo C., Roberto, Santiago

• Research on Robot Path Perception and Optimization Technology Based on Whale Optimization Algorithm

  Citation: 56

  Authors: Jie

• Similarity-Distance Decision-Making Technique and its Applications via Intuitionistic Fuzzy Pairs

  Citation: 54

  Authors: Paul Augustine, Johnson Mobolaji

• Cosine and Cotangent Similarity Measures Based on Choquet Integral for Spherical Fuzzy Sets and Applications to Pattern Recognition

  Citation: 52

  Authors: Mehmet, Murat, Ezgi

• Context-Free Word Importance Scores for Attacking Neural Networks

  Citation: 50

  Authors: Nimrah, Saifullah

• Multiobjective Mathematical Optimization Model for Municipal Solid Waste Management with Economic Analysis of Reuse/Recycling Recovered Waste Materials

  Citation: 47

  Authors: Modu, Umar Muhammad

• Novel Approach to Evaluate Classification Algorithms and Feature Selection Filter Algorithms Using Medical Data

  Citation: 47

  Authors: Fawad, Junaid, Hina, Kaouthar, Nasir, Hassan

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